Carlijn R Hooijmans, Kimberley E Wever, Malcolm R Macleod, Paul Whaley, Alexandra Bannach-Brown
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引用次数: 0
摘要
摘要 本报告是欧洲食品安全局-欧洲生物技术中心最近为推动在系统综述中使用自动化工具而发起的倡议的成果。工作组成员认为,首要任务是制定数据交换标准,以便于在不丢失或更改数据的情况下在 SR 自动化工具之间传输数据。与此密切相关的目标是同时制定数据指南和数据内容标准,以及对由此产生的数据标准进行管理的战略,包括维护和定期更新。如本报告所述,这些对话促成了为启动数据标准制定工作而组织的研讨会。欧洲食品安全局-欧洲生物技术中心(EFSA-EBTC)合作为积极参与 SR 自动化工具开发或使用的众多利益相关者组织了一次为期四个半天的研讨会。主要目标是:1)对 SR 自动化数据标准的需求和障碍形成共识;2)整理所有相关利益方关于如何制定此类标准的观点;3)启动制定过程。在最后一次研讨会之前,组织了三次筹备研讨会,以明确主要研讨会的范围和目标。本外部科学报告载有筹备研讨会和主要研讨会的摘要,以及如何制定这些数据标准的拟议战略。建议的下一步发展步骤侧重于进一步完善目标、分析现状、与现有标准的互操作性、建立基础设施(例如,建立管理结构和包含所有重要利益相关方的工作组),以及实际数据标准制定、发布和监测标准采用情况的过程。
Strategy for developing data standards in support of automation of Systematic Reviews
The current report is the result of the recent EFSA-EBTC initiative to advance the use of automation tools in systematic reviews. The working group members identified the need for data exchange standards to facilitate transferring data between SR automation tools without loss or changes in data as a first priority. Closely related objectives identified were the concurrent development of data guidance and data content standards, and a strategy for governance of the resulting data standards, including their maintenance and regular updates. These conversations led up to the organization of workshops to initiate the development of data standards, as described in the current report. The EFSA-EBTC collaboration organized a four half-day workshop for an extensive group of stakeholders actively involved in the development or use of SR automation tools. The main objectives were 1) to generate a common understanding of the needs and hurdles for data standards in SR automation, 2) to collate viewpoints from all relevant stakeholders on how such standards may be developed, and 3) to kick-off the development process. Three preparatory workshops preceding the final workshop were organized to clarify the scope and objectives of the main workshop. This external scientific report contains the summary of the preparatory and main workshops, as well as the proposed strategy for the process of how these data standards could be developed. The recommended next steps for development focus on further refining the aims, analysis of the landscape, interoperability with existing standards, setting up the infrastructure (e.g., establishing a governance structure and working groups containing all essential stakeholders), and the process of actual data standard development, launching and monitoring adoption of the standards.